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Targeted screening of an anti-inflammatory polypeptide from Rhopilema esculentum Kishinouye cnidoblasts and elucidation of its mechanism in alleviating ulcerative colitis based on an analysis of the gut microbiota and metabolites

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Food Science and Human Wellness 2024年第3期13卷 1336-1347页

作者： Ziyan Wang Qiuyue Shi ying feng Jiaojiao Han Chenyang Lu Jun Zhou Zhonghua Wang Xiurong su State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products Ningbo UniversityNingbo 315000China School of Marine Science Ningbo UniversityNingbo 315000China Key Laboratory of Aquaculture Biotechnology(Ningbo University) Ministry of EducationNingbo UniversityNingbo 315000China College of Life Sciences Tonghua Normal UniversityTonghua 134000China Shandong Beiyou Biotechnology Co. Ltd.Weifang 261000China

Ulcerative colitis(UC)is a recurrent inflammatory bowel disease that imposes a severe burden on families and *** recent years,exploiting the potential of marine bioactive peptides for the treatment of diseases has become a topic of intense research *** study revealed the mechanism underlying the protective effect of the dominant polypeptide PKKVV(Pro-Lys-Lys-Val-Val)of Rhopilema esculentum cnidoblasts against DSS-induced UC through a combined analysis of the metagenome and serum ***,the polypeptide composition of *** cnidoblasts was determined by matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF/TOF-MS).Molecular docking showed that the dominant peptide PKKVV could bind better with tumor necrosis factor-α(TNF-α)than the original *** animal experiments suggested that PKKVV could modulate disorganized gut microorganisms in mice with UC;affect serum metabolites through the arachidonic acid,glycerophospholipid and linoleic acid metabolism pathways;and further alleviate UC *** study provides a reference for the comprehensive development of marine bioactive substances and nonpharmaceutical treatments for UC.

关键词： Ulcerative colitis Rhopilema esculentum Kishinouye Cnidoblasts Marine bioactive polypeptides Metagenome Serum metabolome

Multiscale observation in wide-spatial radar surveillance based on coherent FDA design

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Science China(Information Sciences) 2024年第2期67卷 232-252页

作者： Lei YU feng HE Yi su College of Electronics Science National University of Defense Technology

Wide-spatial radar surveillance missions are challenging tasks, requiring an increased power budget and agility in transmission aimed at extracting information from multiple targets in different environments. These requirements necessitate high transmitting degrees of freedom(DOF) to achieve the objective of multiscale observation for specific tasks in specialized regions of interest. Herein, we exploit the multiscale observation ability in wide-spatial radar surveillance based on frequency diverse array(FDA)radar. The proposed method facilitates spatial anisotropic control of multiple radar resources, including the transmitting waveforms, beampattern, and bandwidth. By utilizing a coherent FDA radar, we offer principles for the selection of baseband waveforms, in addition to the quantitative design of the beampattern gain and optimal bandwidth from the perspective of detection. The feasibility of the proposed method is validated through numerical experiments, thus indicating the potential in wide-spatial radar surveillance. Moreover,this work can be regarded as a preliminary attempt to gauge the efficacy of the computational array, a novel academic concept.

关键词： multi-scale observation wide-spatial surveillance frequency diverse array (FDA) beampattern synthesis frequency diversity gain computational array

DDI-Transform:A neural network for predicting drug-drug interaction events

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Quantitative Biology 2024年第2期12卷 155-163页

作者： Jiaming su ying Qian School of Computer Science and Technology Shanghai Frontiers Science Center of Molecule Intelligent SynthesesEast China Normal UniversityShanghaiChina

Drug-drug interaction(DDI)event prediction is a challenging problem,and accurate prediction of DDI events is critical to patient health and new drug ***,many machine learning-based techniques have been proposed for predicting DDI ***,most of the existing methods do not effectively integrate the multidimensional features of drugs and provide poor mitigation of noise to get effective feature *** address these limitations,we propose a DDI-Transform neural network framework for DDI event *** DDI-Transform,we design a drug structure information feature extraction module and a drug bind-protein feature extraction module to obtain multidimensional feature information.A stack of DDI-Transform layers in the DDI-Transform network module are then used for adaptive learning,thus adaptively selecting the effective feature information for *** results show that DDI-Transform can accurately predict DDI events and outperform the state-of-the-art *** on different scale datasets confirm the robustness of the method.

关键词： adaptive learning graph convolutional networks interaction prediction meta-path

Small-sized Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C for efficient alkaline and acidic hydrogen evolution reaction by an anchoring calcination strategy

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Frontiers of Chemical Science and Engineering 2024年第5期18卷 95-103页

作者： Jianxia Gu ying Zhu Haiyan Zheng Chunyi sun Zhongmin su Department of Chemistry Xinzhou Normal UniversityXinzhou 034000China School of Chemistry Northeast Normal UniversityChangchun 130024China

A novel,cheap and highly efficient Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C nanocomposite has been successfully constructed through simple one-step carbonization method in a nitrogen *** in the precursor can effectively anchor molybdenum-based Keggin-type polyoxometallate and NiCo-layered double hydroxide through electrostatic and coordination interactions,which avoids the aggregation of catalyst particles during the pyrolysis *** optimization,the obtained Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C possesses small size(3-8 nm),large specific surface area and hierarchical pore *** importantly,Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C presents remarkable hydrogen evolution reaction activity with low overpotentials in 0.5 mol·L^(-1)H_(2)SO_(4)(102.3 mV)and 1 mol·L^(-1)KOH(95 mV)to afford the current density of 10 mA·cm^(-2),as well as small Tafel slopes of 82.49 and 99.92 mV·dec^(-1),***,this catalyst also shows outstanding stability for 12 h without a significant change in current *** excellent catalytic performance of Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C can put down to the synergistic effect between multiple components and the small size of the *** work provides unique insights into the preparation of efficient transition metal-based catalysts for HER.

关键词： polyoxometallates layered double hydroxide transition metal-based electrocatalysts hydrogen evolution reaction

Cumulative effects of excess high-normal alanine aminotransferase levels in relation to new-onset metabolic dysfunction-associated fatty liver disease in China

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World Journal of Gastroenterology 2024年第10期30卷 1346-1357页

作者： Jing-feng Chen Zhuo-Qing Wu Hao-Shuang Liu su Yan You-Xiang Wang Miao Xing Xiao-Qin Song su-ying Ding Health Management Center The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052Henan ProvinceChina Institute of Systems Engineering Dalian University of TechnologyDalian 116024Liaoning ProvinceChina College of Public Health Zhengzhou UniversityZhengzhou 450001Henan ProvinceChina School of Basic Medicine and Forensic Medicine Henan University of Science and TechnologyLuoyang 471003Henan ProvinceChina

BACKGROUND Within the normal range,elevated alanine aminotransferase(ALT)levels are associated with an increased risk of metabolic dysfunction-associated fatty liver disease(MAFLD).AIM To investigate the associations between repeated high-normal ALT measurements and the risk of new-onset MAFLD *** A cohort of 3553 participants followed for four consecutive health examinations over 4 years was *** incidence rate,cumulative times,and equally and unequally weighted cumulative effects of excess high-normal ALT levels(ehALT)were *** proportional hazards regression was used to analyse the association between the cumulative effects of ehALT and the risk of new-onset *** A total of 83.13%of participants with MAFLD had normal ALT *** incidence rate of MAFLD showed a linear increasing trend in the cumulative ehALT *** with those in the low-normal ALT group,the multivariate adjusted hazard ratios of the equally and unequally weighted cumulative effects of ehALT were 1.651[95%confidence interval(CI):1.199-2.273]and 1.535(95%CI:1.119-2.106)in the third quartile and 1.616(95%CI:1.162-2.246)and 1.580(95%CI:1.155-2.162)in the fourth quartile,*** Most participants with MAFLD had normal ALT ***-term high-normal ALT levels were associated with a cumulative increased risk of new-onset MAFLD.

关键词： Metabolic dysfunction-associated fatty liver disease High-normal alanine aminotransferase level Cumulative effect Cox proportional hazards regression Cohort study

A novel copper metabolism-related signature model for predicting the prognosis,target drugs,and immunotherapy in stomach adenocarcinoma

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Genes & Diseases 2024年第5期11卷 21-24页

作者： Kai Zhuang Siqi Tang Haixin feng Jinying Zhang ying Liu Yong Liu Yongjian su Jiaqi Yu Zunnan Huang Key Laboratory of Computer-Aided Drug Design of Dongguan City The First Dongguan Affiliated HospitalGuangdong Medical UniversityDongguanGuangdong 523710China Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University Key Laboratory for Research and Development of Natural Drugs of Guangdong ProvinceSchool of PharmacyGuangdong Medical UniversityDongguanGuangdong 523808China School of Public Health Guangdong Medical UniversityDongguanGuangdong 523808China Marine Biomedical Research Institute of Guangdong Zhanjiang ZhanjiangGuangdong 524203China

Stomach adenocarcinoma(STAD)is one of the most common gastric neoplasms with a high death ***,there is an urgent need to propose an efficient therapy for *** plays key roles in regulating the distribution of immune cells and affecting the tumor immune escape,and may be a novel indicator of immunotherapy in ***,the specific impact of copper metabolism-related genes(CMRGs)on the patient’s prognosis,tumor microenvironment,and immunotherapeutic response remains unelucidated.

关键词： metabolism stomach adenocarcinoma

Individualised evaluation based on pathophysiology for moyamoya vasculopathy:application in surgical revascularisation

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Stroke & Vascular Neurology 2024年第3期9卷 268-278,I0241-I0246页

作者： Xin Zhang Yu Lei Jiabin su Chao Gao Yanjiang Li Rui feng Ding Xia Peng Gao Yuxiang Gu ying Mao Department of Neurosurgery Huashan Hospital Fudan UniversityShanghaiChina Department of Radiology Huashan Hospital Fudan UniversityShanghaiChina

Background Although bypass surgery is an effective treatment for moyamoya vasculopathy(MMV),the incidence of postoperative complications is still *** study aims to introduce a novel evaluating system based on individualised pathophysiology of MMV,and to assess its clinical *** This multicentre,prospective study enrolled adult patients with MMV from Huashan Hospital,Fudan University and National Center for Neurological Disorders,China between March 2021 and February *** neuroimages containing structural and functional information were used to evaluate personalised disease severity and fused to localise the surgical field,avoid invalid regions and propose alternative recipient *** recipient artery was further selected intraoperatively by assessing regional haemodynamic and electrophysiological *** preanastomosis and postanastomosis data were compared with assist with the postoperative *** who received such tailored revascularisations were included in the novel group and the others were included in the traditional *** 30-day surgical outcomes and intermediate long-term follow-up were *** Totally 375 patients(145 patients in the novel group and 230 patients in the traditional group)were *** overall complication rate was significantly lower in the novel group(p˂0.001).In detail,both the rates of postoperative infarction(p=0.009)and hyperperfusion syndrome(p=0.010)were significantly *** functional outcomes trended to be more favourable in the novel group,though not significantly(p=0.260).Notably,the proportion of good functional status was higher in the novel group(p=0.009).Interestingly,the preoperative statuses of perfusion and metabolism around the bypass area were significantly correlated with the occurrence of postoperative complications(P˂0.0001).Conclusions This novel evaluating system helps to identify appropriate surgical field and recipient arteries during b

关键词： surgical bypass metabolism

Automated Machine Learning Algorithm Using Recurrent Neural Network to Perform Long-Term Time Series Forecasting

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Computers, Materials & Continua 2024年第3期78卷 3529-3549页

作者： ying su Morgan C.Wang Shuai Liu Department of Statistics and Data Science University of Central FloridaOrlandoFL32816-2370USA School of Mathematics and Statistics Beijing Technology and Business UniversityBeijing100048China

Long-term time series forecasting stands as a crucial research domain within the realm of automated machine learning(AutoML).At present,forecasting,whether rooted in machine learning or statistical learning,typically relies on expert input and necessitates substantial manual *** manual effort spans model development,feature engineering,hyper-parameter tuning,and the intricate construction of time series *** complexity of these tasks renders complete automation unfeasible,as they inherently demand human intervention at multiple *** surmount these challenges,this article proposes leveraging Long Short-Term Memory,which is the variant of Recurrent Neural Networks,harnessing memory cells and gating mechanisms to facilitate long-term time series ***,forecasting accuracy by particular neural network and traditional models can degrade significantly,when addressing long-term time-series ***,our research demonstrates that this innovative approach outperforms the traditional Autoregressive Integrated Moving Average(ARIMA)method in forecasting long-term univariate time *** is a high-quality and competitive model in time series prediction,and yet it requires significant preprocessing *** multiple accuracy metrics,we have evaluated both ARIMA and proposed method on the simulated time-series data and real data in both short and long ***,our findings indicate its superiority over alternative network architectures,including Fully Connected Neural Networks,Convolutional Neural Networks,and Nonpooling Convolutional Neural *** AutoML approach enables non-professional to attain highly accurate and effective time series forecasting,and can be widely applied to various domains,particularly in business and finance.

关键词： Automated machine learning autoregressive integrated moving average neural networks time series analysis

Artificial rabbit optimization algorithm based on chaotic mapping and Levy flight improvement

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The Journal of China Universities of Posts and Telecommunications 2024年第4期31卷 54-69页

作者： Wu Jin su Zhengdong Gao Yaqiong feng Haoran School of Electronic Engineering Xi’an University of Posts and TelecommunicationsXi’an 710121China

An artificial rabbit optimization(ARO)algorithm based on chaotic mapping and Levy flight improvement is proposed,which has the advantages of good initial population quality and fast convergence compared with the traditional ARO algorithm,called *** is improved by applying three *** mapping is introduced,which can optimize the quality of the initial population of the *** Levy flight in the exploration phase,which can avoid the algorithm from falling into a local *** threshold of the energy factor is optimized,which can better balance exploration and *** efficiency of CLARO is tested on a set of 23 benchmark function sets by comparing it with ARO and different meta-heuristics *** last,the comparison experiments conclude that all three improvement strategies enhance the performance of ARO to some extent,with Levy flight providing the most significant improvement in ARO *** experimental results show that CLARO has better results and faster convergence compared to other algorithms,while successfully addressing the drawbacks of ARO and being able to face more challenging problems.

关键词： CLARO chaotic mapping Levy flight convergence